An enterprise organization is establishing a centralized governance and resource management framework across its Google Cloud folder hierarchy. The cloud architecture team must implement real-time cost visibility and ensure that large scheduled batch processing jobs run smoothly without hitting infrastructure limits. Which TWO actions should the team implement to satisfy these operational and billing requirements?
- Export Cloud Billing data to a centralized BigQuery dataset and configure Cloud Pub/Sub notification channels on Cloud Budgets to trigger programmatic cost controls.Answer
- Request regional resource quota increases proactively well in advance of executing high-volume batch workloads.Answer
- CAssign the primitive Owner role at the folder level to service accounts responsible for automated resource cleanup and cost controls.
- DRely on dynamic quota auto-scaling and programmatically submit quota increase requests only after batch jobs encounter quota limits.
Answer
The team should export Cloud Billing data to BigQuery with Pub/Sub budget alerts for automated cost monitoring, and proactively request regional resource quota increases prior to launching large batch jobs.
The correct strategy combines automated cost monitoring via BigQuery billing export and Pub/Sub budget notifications with proactive capacity planning through pre-requested regional resource quotas. Exporting detailed billing data allows deep FinOps analysis, while Pub/Sub alerts trigger automated functions to remediate budget overruns. Requesting regional quota limit increases ahead of planned spikes ensures workloads complete without hitting quota caps.
Step-by-Step Solution
Key Concept
Managing Resource Quotas, Hierarchies, and Cost Optimization